Researchers solved a differential equation behind the interaction of two neurons through synapses, creating a faster AI algorithm.
Artificial intelligence uses a technique called artificial neural networks (ANN) to mimic the way a human brain works. A neural network uses input from datasets to “learn” and output its prediction based on the given information.
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Recently, researchers from the Massachusetts Institute of Technology Computer Science and Artificial Intelligence Lab (MIT CSAIL), have discovered a quicker way to solve an equation used in the algorithms for ‘liquid’ neural neurons.
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